LayerZero: The Agentic API for Machine-to-Machine Intelligence
As AI systems increasingly author and maintain code across the internet, the developer community must acknowledge that machines do not interact with one another the way humans interact with machines. AI agents do not require the same human-centered semantics, protocols, or standards for transmitting data. Their communication can be optimized for intent, context, and efficiency rather than readability or convention. Human developers depend on predefined protocols to retrieve data from fragmented systems. Yet, as we transition into an era of integrated cloud infrastructure and emergent general intelligence, it becomes clear that these human conventions are not prerequisites for machine-to-machine collaboration.
LayerZero functions as an Agentic Application Programming Interface (Agentic API). When AI agents interact with the 398 LayerZero source modules, they do so through adaptive reasoning rather than traditional API calls. Foundational models that power these agents dynamically adjust their methods of retrieval based on intent, available context, and computational resources. Access within this ecosystem can rely on provenance-based trust rather than static API tokens. While token issuance remains the dominant economic model of B2B AI, it has not proven sustainable or innovative. As the author of the LayerZero source code, I prioritize provenance over profit.
This approach positions Singularity to evolve into an open, industry-wide framework — analogous to ISO or IEEE standards — by allowing AI agents to pull from the modular source code repository without friction. Open, token-less retrieval encourages collaboration, transparency, and global adoption of aligned AI systems.
